Leanpub book LAUNCH Beyond Prompt Engineering: The Revolutionary Way to Learn Augmented Thinking by Ed Barnard

Watch here: https://youtu.be/jgqPxwKQhSc

“Is #PromptEngineering truly the next programming language — or just fancy wordsmithing for those who can’t write JavaScript?”

In this #InfoQ talk, Hien Luu dives into how Prompt Engineering is reshaping software development - from system design to debugging & testing.

Here’s what you’ll get:
Live demos
Real-world examples
A dash of humor

Watch now https://bit.ly/4hRk9nw

Hey Mastadon Friends!

If you enjoy real talk about AI, creative independence, prompt engineering, and future-proof thinking, with zero fluff and a little flavor, then you’ll probably dig PromptCraft: my Free Substack.

I write about:
Sovereign AI and what it means for creators, businesses, and governments.
Voice interfaces and how they’re reshaping human-computer interaction
And occasionally, how to stay human in the middle of all this chaos.
I’m not trying to build a cult. Just a smarter audience (that's also kind of a cult).

Subscribe here for FREE access to articles, visuals, and thought experiments you won’t find on LinkedIn: https://lnkd.in/gVj7givm
If you’re in AI, strategy, creative tech, or just curious about what’s next, consider this your signal.

The New Skill in AI is Not Prompting, It's Context Engineering

https://www.philschmid.de/context-engineering

"As frontier model context windows continue to grow, with many supporting up to 1 million tokens, I see many excited discussions about how long context windows will unlock the agents of our dreams. After all, with a large enough window, you can simply throw everything into a prompt you might need – tools, documents, instructions, and more – and let the model take care of the rest.

Long contexts kneecapped RAG enthusiasm (no need to find the best doc when you can fit it all in the prompt!), enabled MCP hype (connect to every tool and models can do any job!), and fueled enthusiasm for agents.

But in reality, longer contexts do not generate better responses. Overloading your context can cause your agents and applications to fail in suprising ways. Contexts can become poisoned, distracting, confusing, or conflicting. This is especially problematic for agents, which rely on context to gather information, synthesize findings, and coordinate actions.

Let’s run through the ways contexts can get out of hand, then review methods to mitigate or entirely avoid context fails."

https://www.dbreunig.com/2025/06/22/how-contexts-fail-and-how-to-fix-them.html

The Gemini CLI might change how I work. Here are four prompts that prove it. | by Richard Seroter

https://seroter.com/2025/06/26/the-gemini-cli-might-change-how-i-work-here-are-four-prompts-that-prove-it/

NEW! A Leanpub Podcast Interview with Ed Barnard, Author of Beyond Prompt Engineering: The Revolutionary Way to Learn Augmented Thinking

Watch here: https://youtu.be/R3I4lcroBAU

Leanpub book LAUNCH Beyond Prompt Engineering: The Revolutionary Way to Learn Augmented Thinking by Ed Barnard

Watch here: https://youtu.be/jgqPxwKQhSc

It’s called #PromptEngineering, because “holding its hair back while it vomits” has too many syllables in it. #AI

From our blog: Leanpub book LAUNCH Beyond Prompt Engineering: The Revolutionary Way to Learn Augmented Thinking by Ed Barnard

https://leanpub.com/blog/leanpub-book-launch-beyond-prompt-engineering-the-revolutionary-way-to-learn-augmented-thinking-by-ed-barnard

From our blog: The Leanpub Podcast Feat. Ed Barnard, Author of Beyond Prompt Engineering: The Revolutionary Way to Learn Augmented Thinking

https://leanpub.com/blog/the-leanpub-podcast-feat-ed-barnard-author-of-beyond-prompt-engineering-the-revolutionary-way-to-learn-augmented-thinking

Leanpub book LAUNCH Beyond Prompt Engineering: The Revolutionary Way to Learn Augmented Thinking by Ed Barnard

Watch here: https://youtu.be/jgqPxwKQhSc

NEW! A Leanpub Podcast Interview with Ed Barnard, Author of Beyond Prompt Engineering: The Revolutionary Way to Learn Augmented Thinking

Watch here: https://youtu.be/R3I4lcroBAU

#PromptEngineering: Enhance #AI Outputs with TCREI Simplified https://drayseozturk.org/2025/02/05/prompting/

#AI use case.
I know it's the done thing amongst the cool kids to echo how useless the "stochastic parrots" are.

Here is a use case for a computer practitioner to troubleshoot a problem that leverages the Moloch.

The party approved way:
Check the log file, scan it for anomalies (assuming you have the expertise to spot an anomaly). Then Google each error and trawl through multiple Google articles. Reading each one.
Time to resolution: 30min+(optimistic)

The AI evil way:
Copy pasta into the prompt window.
Time to resolution: 3min

The educator panic over AI is real, and rational.
I've been there myself. The difference is I moved past denial to a more pragmatic question: since AI regulation seems unlikely (with both camps refusing to engage), how do we actually work with these systems?

The "AI will kill critical thinking" crowd has a point, but they're missing context.
Critical reasoning wasn't exactly thriving before AI arrived: just look around. The real question isn't whether AI threatens thinking skills, but whether we can leverage it the same way we leverage other cognitive tools.

We don't hunt our own food or walk everywhere anymore.
We use supermarkets and cars. Most of us Google instead of visiting libraries. Each tool trade-off changed how we think and what skills matter. AI is the next step in this progression, if we're smart about it.

The key is learning to think with AI rather than being replaced by it.
That means understanding both its capabilities and our irreplaceable human advantages.

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